2024
Adverse Pregnancy Outcomes and Predicted 30-Year Risk of Maternal Cardiovascular Disease 2–7 Years After Delivery
Venkatesh K, Khan S, Yee L, Wu J, McNeil R, Greenland P, Chung J, Levine L, Simhan H, Catov J, Scifres C, Reddy U, Pemberton V, Saade G, Merz C, Grobman W, Mothers-to-Be A. Adverse Pregnancy Outcomes and Predicted 30-Year Risk of Maternal Cardiovascular Disease 2–7 Years After Delivery. Obstetrics And Gynecology 2024, 143: 775-784. PMID: 38574364, PMCID: PMC11098696, DOI: 10.1097/aog.0000000000005569.Peer-Reviewed Original ResearchConceptsRisk of atherosclerotic CVDAtherosclerotic CVD riskAdverse pregnancy outcomesHypertensive disorders of pregnancyAtherosclerotic CVDCVD riskDisorders of pregnancyPregnancy outcomesHypertensive disordersPreterm birthModified Poisson modelsFramingham risk scoreRisk of CVDRisk of atherosclerotic cardiovascular diseaseMagnitude of riskAbsolute riskAtherosclerotic cardiovascular diseaseSecondary analysisLongitudinal cohortRisk scoreGestational ageGreater riskBaseline covariatesCardiovascular diseaseDisease 2
2023
Sex-specific risks for cardiovascular disease across the glycaemic spectrum: a population-based cohort study using the UK Biobank
Rentsch C, Garfield V, Mathur R, Eastwood S, Smeeth L, Chaturvedi N, Bhaskaran K. Sex-specific risks for cardiovascular disease across the glycaemic spectrum: a population-based cohort study using the UK Biobank. The Lancet Regional Health - Europe 2023, 32: 100693. PMID: 37671124, PMCID: PMC10477037, DOI: 10.1016/j.lanepe.2023.100693.Peer-Reviewed Original ResearchCoronary artery diseaseDeep vein thrombosisSex-specific riskCardiovascular diseaseUndiagnosed diabetesGlycaemic spectrumPulmonary embolismExcess riskPopulation-based cohort studyRisk of CVDAge-adjusted HRIncident cardiovascular diseaseBritish Heart FoundationSex-specific associationsUK BiobankWeight reduction strategiesStatin medicationStatin useClinical characteristicsCohort studyComposite outcomeNormal HbA1cVein thrombosisArtery diseaseHeart failureUse of Smart Devices to Track Cardiovascular Health Goals in the United States
Aminorroaya A, Dhingra L, Nargesi A, Oikonomou E, Krumholz H, Khera R. Use of Smart Devices to Track Cardiovascular Health Goals in the United States. JACC Advances 2023, 2: 100544. PMID: 38094515, PMCID: PMC10718569, DOI: 10.1016/j.jacadv.2023.100544.Peer-Reviewed Original ResearchHealth goalsRisk of cardiovascular diseaseCardiovascular risk factorsNationally representative Health Information National Trends SurveyHealth Information National Trends SurveyU.S. adultsCardiovascular diseaseNational Trends SurveyRisk factors of hypertensionDigital health interventionsCardiovascular health goalsHealth-related goalsRisk of CVDFactors of hypertensionU.S. adult populationCardiovascular risk managementHigher educational attainmentLow-income individualsSmart devicesTrends SurveyImprove careHealth interventionsNational estimatesRisk factorsSurvey participantsAssociation of frailty with the incidence risk of cardiovascular disease and type 2 diabetes mellitus in long-term cancer survivors: a prospective cohort study
Cao X, Yang Z, Li X, Chen C, Hoogendijk E, Zhang J, Yao N, Ma L, Zhang Y, Zhu Y, Zhang X, Du Y, Wang X, Wu X, Gill T, Liu Z. Association of frailty with the incidence risk of cardiovascular disease and type 2 diabetes mellitus in long-term cancer survivors: a prospective cohort study. BMC Medicine 2023, 21: 74. PMID: 36829175, PMCID: PMC9951842, DOI: 10.1186/s12916-023-02774-1.Peer-Reviewed Original ResearchConceptsLong-term cancer survivorsType 2 diabetes mellitusCancer survivorsCardiovascular diseaseIncidence riskDiabetes mellitusFrailty IndicatorCox proportional hazards regression modelRisk of CVDProportional hazards regression modelsNon-frail participantsSerious healthcare burdenIncident cardiovascular diseaseMultivariable-adjusted modelsProspective cohort studyAssociation of frailtyPrimary care dataHazards regression modelsTime of recruitmentQuality of lifeLater comorbidityIncident T2DMCohort studyFrailty phenotypeFrailty index
2022
Cardiovascular Risk Factors Mediate the Long-Term Maternal Risk Associated With Hypertensive Disorders of Pregnancy
Stuart JJ, Tanz LJ, Rimm EB, Spiegelman D, Missmer SA, Mukamal KJ, Rexrode KM, Rich-Edwards JW. Cardiovascular Risk Factors Mediate the Long-Term Maternal Risk Associated With Hypertensive Disorders of Pregnancy. Journal Of The American College Of Cardiology 2022, 79: 1901-1913. PMID: 35550687, PMCID: PMC9176211, DOI: 10.1016/j.jacc.2022.03.335.Peer-Reviewed Original ResearchConceptsCVD risk factorsRates of CVDHealth Study IIRisk of CVDBody mass indexGestational hypertensionType 2 diabetesRisk factorsChronic hypertensionHypertensive disordersMass indexNurses' Health Study IIPrepregnancy body mass indexHistory of HDPCardiovascular risk factorsOverweight/obesityProportional hazards modelIncident CVDCVD preventionNormotensive pregnanciesFirst pregnancyPotential confoundersParental historyHypertensionHazards model
2021
Food insecurity and cardiovascular disease: Current trends and future directions
Chang R, Javed Z, Taha M, Yahya T, Valero-Elizondo J, Brandt EJ, Cainzos-Achirica M, Mahajan S, Ali HJ, Nasir K. Food insecurity and cardiovascular disease: Current trends and future directions. American Journal Of Preventive Cardiology 2021, 9: 100303. PMID: 34988538, PMCID: PMC8702994, DOI: 10.1016/j.ajpc.2021.100303.Peer-Reviewed Original ResearchCardiovascular diseaseRisk of FIRisk of CVDSpecial Supplemental Nutrition ProgramHigh-risk subgroupsCardiovascular health benefitsSupplemental Nutrition ProgramLower dietary qualityCardiovascular morbidityCVD careFood insecurityCardiovascular healthSupplemental Nutrition Assistance ProgramGeneral populationNutrition Assistance ProgramNutrition ProgramDietary qualityHealth systemSociodemographic differencesHealth benefitsHealthcare systemFinancial burdenDiseaseRiskAssistance programs
2018
Understanding women veterans' preferences for peer support interventions to promote heart healthy behaviors: A qualitative study
Goldstein KM, Zullig LL, Oddone EZ, Andrews SM, Grewe ME, Danus S, Heisler M, Bastian LA, Voils CI. Understanding women veterans' preferences for peer support interventions to promote heart healthy behaviors: A qualitative study. Preventive Medicine Reports 2018, 10: 353-358. PMID: 29868391, PMCID: PMC5984244, DOI: 10.1016/j.pmedr.2018.04.016.Peer-Reviewed Original ResearchHeart-healthy behaviorsPeer support interventionCardiovascular diseaseWomen veteransSupport interventionsHealthy behaviorsRisk of CVDNon-insulin dependent diabetesVeterans Affairs Healthcare SystemPeer supportHealthcare systemVA healthcare systemCurrent smokingDependent diabetesPreventable conditionBehavior change goalsConventional content analysisSemi-structured individual interviewsVeterans' preferencesVeteransInterventionQualitative studyRiskIndividual interviewsHypertensionAndrogen deprivation therapy (ADT) and cardiovascular mortality (CVD) in men with early-stage prostate cancer (PC) receiving curative radiation therapy (RT).
Hanlon A, Fleming S, Hamilton A, Dinan M, Melloni C, Harrison M, Khouri M, Wu X, Wilson J, Lipscomb J, Cress R, Anderson R, Kimmick G. Androgen deprivation therapy (ADT) and cardiovascular mortality (CVD) in men with early-stage prostate cancer (PC) receiving curative radiation therapy (RT). Journal Of Clinical Oncology 2018, 36: 127-127. DOI: 10.1200/jco.2018.36.7_suppl.127.Peer-Reviewed Original ResearchUse of ADTAndrogen deprivation therapyProstate cancerRadiation therapyAdult Comorbidity Evaluation-27National Death Index dataPopulation-based cancer registriesEarly-stage prostate cancerAge 67.7 yearsCV risk factorsDefinitive radiation therapyDeath Index dataRisk of CVDCurative radiation therapyGleason score 3Hazard of deathCause of deathProstate cancer patternsHigher socioeconomic statusRace/ethnicityCV deathCVD equivalentDeprivation therapyHigher CVDCV disease
2016
Sick Populations and Sick Subpopulations
Lu Y, Ezzati M, Rimm EB, Hajifathalian K, Ueda P, Danaei G. Sick Populations and Sick Subpopulations. Circulation 2016, 134: 472-485. PMID: 27324491, PMCID: PMC5001154, DOI: 10.1161/circulationaha.115.018102.Peer-Reviewed Original ResearchConceptsMultiple risk factorsCVD death ratesHigh-risk individualsRisk factorsNonfatal CVDCVD riskCVD deathFatal CVDDeath rateRisk-based interventionsWhite menCVD ratesNutrition Examination Survey 1999Cardiovascular disease death ratesWhite womenRacial disparitiesRisk of CVDExamination Survey 1999Black-white differencesDisease death ratesYears of ageBlack womenBlack menSick populationNational Health
2015
AB0539 Risk of Cardiovascular Events in Patients with Cutaneous Lupus Erythematosus: A Population-Based Study
Singh A, Crowson C, Davis M, Maradit-Kremers H, Matteson E, Chowdhary V. AB0539 Risk of Cardiovascular Events in Patients with Cutaneous Lupus Erythematosus: A Population-Based Study. Annals Of The Rheumatic Diseases 2015, 74: 1080. DOI: 10.1136/annrheumdis-2015-eular.4318.Peer-Reviewed Original ResearchCutaneous lupus erythematosusSystemic lupus erythematosusPopulation-based cohortCardiovascular eventsCardiovascular diseaseLupus erythematosusCumulative incidenceRisk factorsDiagnosis of CLESubtypes of CLERisk of CVDPositive antinuclear antibodyIndependent risk factorSex-matched subjectsKaplan-Meier methodMedical record reviewSex-matched cohortChronic inflammatory diseaseSex-matched controlsComplex gene-environment interactionsMedian ESRAntinuclear antibodiesSystemic inflammationRecord reviewMyocardial infarction
2014
HIV Infection and Cardiovascular Disease in Women
Womack JA, Chang C, So‐Armah K, Alcorn C, Baker JV, Brown ST, Budoff M, Butt AA, Gibert C, Goetz MB, Gottdiener J, Gottlieb S, Justice AC, Leaf D, McGinnis K, Rimland D, Rodriguez‐Barradas M, Sico J, Skanderson M, Tindle H, Tracy RP, Warner A, Freiberg MS. HIV Infection and Cardiovascular Disease in Women. Journal Of The American Heart Association 2014, 3: e001035. PMID: 25324353, PMCID: PMC4323817, DOI: 10.1161/jaha.114.001035.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge DistributionAgedCardiovascular DiseasesCase-Control StudiesComorbidityConfidence IntervalsFemaleHIV InfectionsHumansLongitudinal StudiesMiddle AgedPrevalenceProportional Hazards ModelsProspective StudiesRisk AssessmentSeverity of Illness IndexSurvival AnalysisUnited StatesUser-Computer InterfaceVeteransConceptsRisk of CVDCVD eventsCardiovascular diseaseHIV infectionVeterans Aging Cohort StudyCox proportional hazards modelHIV uninfected womenIncident CVD eventsIncident cardiovascular diseaseIndependent risk factorAging Cohort StudyClinical Modification codesFirst clinical encounterDeath certificate dataProportional hazards modelSubstance use/abuseUse/abuseRace/ethnicityUninfected womenHepatitis CHIV- womenLast followCohort studyIschemic strokeUnstable angina
2013
Optimizing Cardiovascular Benefits of Exercise: A Review of Rodent Models
Davis B, Moriguchi T, Sumpio B. Optimizing Cardiovascular Benefits of Exercise: A Review of Rodent Models. International Journal Of Angiology 2013, 22: 013-022. PMID: 24436579, PMCID: PMC3699221, DOI: 10.1055/s-0033-1333867.Peer-Reviewed Original ResearchCardiovascular diseaseCardiovascular benefitsCardiovascular healthRodent modelsRisk of CVDRegular aerobic exerciseDuration of exerciseRodent-based studiesComponents of exerciseOptimal regimenAerobic exerciseLipid profileRodent studiesVascular structuresFurther studiesHuman subjectsExerciseDurationReviewHealthLiterature reviewOptimal typeRegimenMEDLINEStudy
1997
Factors that Affect Perceived Susceptibility to Cardiovascular Disease in Women
Humphries D, Krummel D, Rye S, Simon K. Factors that Affect Perceived Susceptibility to Cardiovascular Disease in Women. Journal Of The Academy Of Nutrition And Dietetics 1997, 97: a12. DOI: 10.1016/s0002-8223(97)00364-7.Peer-Reviewed Original ResearchCVD risk factorsRisk factorsCardiovascular diseaseAnnual household incomeFamily historyRisk of CVDOnly risk factorBody mass indexPrimary care sitesBehavioral risk factorsSelf-perceived riskWest Virginia womenMass indexNutrition interventionsCare sitesPhysical activityWomen's healthLarger studyHousehold incomeWomen's beliefsWomenDiseaseBody massHealthRisk
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